{"id":"W3092940988","doi":"10.1002/mds.28235","title":"Debugging Adaptive Deep Brain Stimulation for Parkinson's Disease","year":2020,"lang":"en","type":"letter","venue":"Movement Disorders","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Deep brain stimulation; False positive rate; Receiver operating characteristic; Logistic regression; Disease; Medicine; Machine learning; Computer science; Parkinson's disease; Psychology; Artificial intelligence; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00003941407,0.0004791884,0.0005145559,0.000113023,0.00015877,0.00003607219,0.0001294516,0.0002328235,0.0001974002],"category_scores_gemma":[0.0001459127,0.0004129094,0.0004204963,0.0001394018,0.00006656016,0.00005942296,0.00006279616,0.000531133,0.00003816608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001127273,"about_ca_system_score_gemma":0.00007570904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000267491,"about_ca_topic_score_gemma":0.00001941372,"domain_scores_codex":[0.9978476,0.00005965961,0.0003191002,0.0008064638,0.0004453069,0.0005218795],"domain_scores_gemma":[0.9990321,0.0002304187,0.0001678005,0.0003210846,0.00004244895,0.0002060984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007805978,0.0002728413,0.006556287,0.0002834174,0.000372392,0.0003073406,0.00005401808,0.00008853618,0.000005944816,0.00005116645,0.9802397,0.01098774],"study_design_scores_gemma":[0.00648674,0.001930357,0.01041772,0.0001205534,0.001092913,6.326427e-8,0.00005402555,0.01483361,0.000005216747,0.2182816,0.7460999,0.0006772492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006856362,0.0007429653,0.008716322,0.9852657,0.0002140096,0.003202695,0.0001997539,0.0002096974,0.0007631896],"genre_scores_gemma":[0.02448102,0.00009912854,0.0005138613,0.970235,0.0005251067,0.0007160566,0.002324768,0.000106752,0.000998243],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2341398,"threshold_uncertainty_score":0.9998323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0246518930696895,"score_gpt":0.2639496630330477,"score_spread":0.2392977699633582,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}